###################################################################
# If you used Vina-GPU in your work, please cite:                 #
#                                                                 #
# Tang, S.; Chen, R.; Lin, M.; Lin, Q.; Zhu, Y.; Ding, J.; Hu, H.;#
# Ling, M.; Wu, J. Accelerating AutoDock Vina with GPUs.          #
# Molecules 2022, 27, 3041.                                       #
# https://doi.org/10.3390/molecules27093041                       #
#                                                                 #
# And also the origin AutoDock Vina paper:                        #
# O. Trott, A. J. Olson,                                          #
# AutoDock Vina: improving the speed and accuracy of docking      #
# with a new scoring function, efficient optimization and         #
# multithreading, Journal of Computational Chemistry 31 (2010)    #
# 455-461                                                         #
#                                                                 #
# DOI 10.1002/jcc.21334                                           #
#                                                                 #
###################################################################

WARNING: The search space volume > 27000 Angstrom^3 (See FAQ)
Reading input ... done.
Setting up the scoring function ... done.
Analyzing the binding site ... done.
Using random seed: -669561152
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.5      0.000      0.000
   2         -7.1      8.737     14.135
   3         -7.1      9.251     13.712
   4         -7.0      6.882     16.465
   5         -7.0     15.823     22.934
   6         -7.0     17.041     23.264
   7         -6.9      8.690     14.177
   8         -6.9      3.091     11.426
   9         -6.9     16.823     23.059
  10         -6.8      3.214      6.135
  11         -6.8      4.845      8.360
  12         -6.8     16.030     22.048
  13         -6.7     16.341     23.407
  14         -6.6     15.988     20.550
  15         -6.6     15.584     22.821
  16         -6.6      2.853      5.086
  17         -6.6      2.519      4.732
  18         -6.6     15.457     21.275
  19         -6.5     16.848     22.352
  20         -6.5      2.374      4.099
Writing output ... done.